where \(f\) , \(g\) , and \(h\)  are convex functions, and \(h\)  is differentiable.
This general problem covers a wide variety of applications in
machine learning, signal and image processing, operations research,
control, and other fields [1]}, [2]}, [3]}, [4]}.
In this paper, we consider proximal splitting methods based on Bregman
distances for solving (REF )
and some interesting special cases of (REF ).
